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... consider a new approach, LexRank, for computing sentence importance based on the ... that very high thresholds may lose almost all of the information in a ...
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[CNN, 4/18/02, 12:22] ... Breaking news; various sources. 341 total question and answer sets. Question annotation ... retrieval from dynamic news stories ...
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Title: Words & Links: Modeling Webs of Words Author: radev Last modified by: radev Created Date: 3/25/2004 9:55:05 PM Document presentation format
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Freely skewed. d1 d2 d3 d4. Freely skewed = Only add a new ... Freely skewed model. Empirical and theoretical properties of TSGs (e.g., in-degree distribution) ...
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Recent advances in multi-document summarization Dragomir Radev University of Michigan, Ann Arbor radev@umich.edu Presentation at UC Berkeley SIMS, November 10, 2004
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Current graph-based approaches to text summarization assume static graphs. A suitable evolutionary text graph model may impart a better understanding of the texts. ...
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Lecture 5: Network centrality Slides are modified from Lada Adamic * * * * Outline Degree centrality Centralization Betweenness centrality Closeness centrality ...
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A special case of networks where nodes are words or documents and edges link ... Co-occurrence networks [Dorogovtsev and Mendes 2001, Sole and Ferrer i Cancho 2001] ...
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Apple iPod Nano 4GB. Entity Linkage ... 4GB iPod nano 4GB. De-duplication. Ironic, isn't it? 7. NIH Lister Hill Medical Center ...
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algorithms: centrality, learning on graphs, spectral partitioning, min-cuts ... Cut-based classification takes into account both individual and contextual ...
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put a book on the scanner, turn the dial to 2 pages', and read the result... Japanese email to the summarizer, select 1 par', and skim the translated summary. ...
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Graph-based Algorithms in IR and NLP Smaranda Muresan Examples of Graph-based Representation Graph-based Representation Smarter IR IR retrieve documents relevant ...
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NSF (joint with Kevin Quinn of Harvard, Burt Monroe of PSU) ... Language Model Based Document Clustering Using Random Walks (HLT-NAACL 2006) ...
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Example: To find recipes for cookies with oatmeal but without raisins, try ... would find the nursery rhyme, but likely not religious or Christmas-related documents. ...
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... method and re-rankers has an evident effect on summary outputs ... the MEAD methods is not evidently better, especially comparing to the Random method. ...
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Note: Assignment 3 and Assignment 4 final due on April 27 in order to get some ... signature libraries, generalization and partonymic hierarchies, metonymy rules...
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Building a document graph. Definition of summary. Rank Summaries ... Widely used Okapi weighting. Query Dependent. NScore (v) ...
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obtain root set (using a search engine) related to the input query ... The positive end of the third nonprincipal eigenvector gives pages about the car. ...
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